{"title":"Traffic Signs Recognition Using CNN","authors":"A. Kapoor, Neelam Nehra, Deepti Deshwal","doi":"10.1109/ICIERA53202.2021.9726758","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726758","url":null,"abstract":"Convolutional Neural Networks (CNN) are already being used to perform an increasing number of object identification challenges. Most of the existing and new computer vision tasks has been improved by CNNs high recognition rate and execution. In this work a convolution neural network is employed to develop a traffic sign recognition system. In addition, the research compares and contrasts numerous CNN architectures. The neural network's training is implemented using Tensor flow and Keras library. The proposed model has accuracy of 93.58.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129225923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recognition of American Sign Language using Deep Learning","authors":"Aeshita Mathur, Deepanshu Singh, R. Chhikara","doi":"10.1109/ICIERA53202.2021.9726736","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726736","url":null,"abstract":"Deaf and mute communities have always faced a communication barrier, but advances in the field of Deep Learning are reducing this barrier. As a form of communication, sign language is one of the most ancient and natural, but since few people speak it and interpreters are extremely rare, this paper proposes to use neural networks to handle fingerspelling based on American Sign Language. A comparative study for Sign Language Recognition (SLR) is presented by implementing a variety of Deep Learning models. The paper proposes a CNN architecture that outperforms (by around 4%) various pretrained models for SLR.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115772840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proposal for Intelligent Hockey Surveillance System using IoT Framework","authors":"Pratik Chowdhury, Sourav Tripathi, Suchintya Kumar Pandey, Subhankar Mukherjee, Archisman Mukherjee","doi":"10.1109/ICIERA53202.2021.9726742","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726742","url":null,"abstract":"Hockey is one of the most popular sports in India after Cricket. Also globally, it is very popular as it is played in the Olympics. Unfortunately, while playing the game, the hockey players often face serious injuries and succumb to illnesses. These illnesses include shortage of breath, bone-breaking, respiration problem, tongue-swallowing and concussion. In extreme cases, death may also occur. Being fit and healthy is one of the most important factors of a player. Researchers have been trying to reduce this risk of injuries and death by constantly suggesting and developing devices which can achieve the objective. Internet of Things (IoT) has been one such important feature which is being implemented by researchers to achieve this objective. This paper of ours suggests and proposes a methodology through which the risk of injuries in hockey players can be minimized, hence letting them stay fit for a longer time to focus on their sport. Our paper aims to use IoT framework in Hockey, with the help of sensor devices, technologies and Cloud Computing to monitor the health and fitness of the players. The objective is to implement IoT in the genre of sports and games.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126760740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Low-Voltage Low-Power FGMOS and CMOS Resister-Based Current Mirror","authors":"Harshmani Yadav, Urvashi Bansal","doi":"10.1109/ICIERA53202.2021.9726723","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726723","url":null,"abstract":"A new Floating gate metal oxide semiconductor (FGMOS) and a CMOS Resistor-based current mirror (RBCM) with very low voltage requirement at input and output voltage is presented in this paper. The proposed circuit employs two resistors arranged in a symmetrical configuration, one control circuit and FGMOS the resulting error in two resistors circuits is subtracted to each other, this property reduces error and improves precision. The circuit is designed and investigated by using Cadence virtuoso, EDA tool with 180 nm technology under supply voltage of 0.75 V. This circuit has the advantage of high output impedance, low input impedance, wide input swing, large output swing, high linearity which makes this circuit a preferred choice for high performance low-voltage, wide range of input voltage and low-power application. The simulation results show are quite motivating as this circuit offers extremely low input impedance of 370 $Omega$, output impedance of 1 $7mathrm{M}Omega$ and power consumption of 150 $mu$ A.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124472749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integration of a Microgrid Consisting of Hybrid Energy Sources to a Weak AC Grid","authors":"A. L.","doi":"10.1109/ICIERA53202.2021.9726720","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726720","url":null,"abstract":"The conventional vector current controlled Voltage Source Inverters (VSI) are commonly used to integrate renewable energy sources to ac grids. However, the presence of a Phase Locked Loop (PLL) results in stability problems when the VSI is integrated to a weak ac grid. The inner current controller may interact with the PLL dynamics leading to instability. To overcome this limitation a PLL-less control technique like Voltage Modulated Direct Power Control (VMDPC) may be used. In this paper the effectiveness of VMDPC technique is validated by using it to integrate a microgrid with both photovoltaic and wind energy generation units to a weak ac grid. The results shows that the weak grid connected inverter can track the real and reactive power references with the VMDPC technique. The Total Harmonic Distortion (THD) of the current injected into grid is found to be within acceptable limits and the performance of the controller under a sag in grid voltage is also found to be satisfactory.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123058366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gebrekiros Gebreyesus Gebremariam, J. Panda, S. Indu
{"title":"Secure Intrusion Detection System for Hierarchically Distributed Wireless Sensor Networks","authors":"Gebrekiros Gebreyesus Gebremariam, J. Panda, S. Indu","doi":"10.1109/ICIERA53202.2021.9726753","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726753","url":null,"abstract":"Wireless sensor networks (WSNs) are a collection of sensors and developing technology applied in military and civilian areas of study. Sensor networks randomly and hierarchically configured in remote and unattended environments. Wireless sensor networks expose to security challenges since sensor nodes are deployed in an open environment and wireless communication between the nodes. WSNs are vulnerable to different security threats such as a black hole, Sybil, sinkhole, wormhole, forwarding, gray hole attacks…, etc. Due to the increase, these attacks on critical infrastructures managed by networked systems, designing robust intrusion detection systems is essential for protecting sensitive information. In this work, A secure intrusion detection system is designed based on decision tree a machine learning classification model. This model is used to build predictive model by training and testing. Decision tree IDS confirms the detection accuracy of 99.8% using MATLAB with NSL-KDD dataset. We examined this work by using NSL-KDD dataset as benchmark for performance comparison detection metrics with different class of attacks.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124608757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Q-Learning Based Power Allocation in Self Organizing Heterogeneous Networks","authors":"J. V. Naidu, Subhajit Mukherjee, Aneek Adhya","doi":"10.1109/ICIERA53202.2021.9726719","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726719","url":null,"abstract":"Resource allocation and interference management have been fundamental topics of interest in wireless cellular networks. Low powered small cells can be deployed by indoor users to diminish cellular coverage problem, offload traffic from the macrocell based cellular network, and enhance over-all user throughput. In order to facilitate extensive usage of small cells coexisting with the macrocells for next generation cellular networks, new interference management schemes are required. We consider a two-tier heterogeneous cellular network with conventional macrocells overlaid with femtocells. A multi agent Markov decision process based distributed framework is proposed to model resource allocation in the cellular network. We explore a reinforcement learning (RL), in particular, a Q-learning based self organizing mechanism for power allocation that enables adaptation of transmit power as new femtocells are being added to the network. By mitigating the co-tier and cross-tier interference simultaneously, the proposed technique maximizes the sum capacity of femtocell network, even though it maintains the quality of service (QoS), represented in terms of the transmission rate requirement, of all the femtocell user equipment (FUEs) and macrocell user equipment (MUE).","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132431888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guguloth Sagar, H. Parthasarathy, Vijyant Agarwal, Vijay Upreti
{"title":"Synthesizing EEG Signals from Speech Signals Using BCI's with EKF-Based Training","authors":"Guguloth Sagar, H. Parthasarathy, Vijyant Agarwal, Vijay Upreti","doi":"10.1109/ICIERA53202.2021.9726748","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726748","url":null,"abstract":"A nonlinear oscillator differential equation model for EEG signals is linearized and discretized. The unknown parameters of this model are estimated using the EKF from noisy EEG signals. Likewise, the parameters of a linear difference equation model for speech are estimated using the EKF from noisy speech measurements. Based on the hypothesis that EEG and speech signals are correlated, a linear regression model that relates speech parameters to EEG parameters is proposed. By substituting this linear regression model into the speech differential equation, the EEG parameters for a fresh person are estimated from the speech signal alone using the EKF. This set up compares the generation of EEG data from speech data using a computer with training based on available EEG and speech signals from the BCI.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132229872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Vaishnavi, Bharat Singh, Ankit Vijayvargiya, Rajesh Kumar
{"title":"Inverse Kinematics Solution for 5-DoF Robotic Manipulator using Meta-heuristic Techniques","authors":"J. Vaishnavi, Bharat Singh, Ankit Vijayvargiya, Rajesh Kumar","doi":"10.1109/ICIERA53202.2021.9726739","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726739","url":null,"abstract":"Robotic manipulators have become the key component in the automation industry because of their accuracy. Finding the inverse kinematic (IK) solution (to compute the joint angles for desired end-effector position and orientation) for a robot manipulator is the most challenging problem. Conventional approaches like numerical, geometric, and algebraic have failed to provide the solution due to redundancy/singularity present in IK. This paper presents the IK solution for the 5-DoFs manipu-lator using fourteen meta-heuristic techniques. The end-effector position is determined by solving Forward kinematics using the Denavit-Hartenberg (DH) parameters. The objective function is designed to minimize the Euclidean distance between the actual and desired position/orientation of the end-effector. Comparative analysis of these techniques is based on the computation time and positional error. Result shows that the differential evolution (DE) algorithm outperforms all other techniques in terms of Cartesian (4.42598 $times boldsymbol{1}boldsymbol{0}^{-8}$ cm) and orientation (4.42598 $times boldsymbol{1}boldsymbol{0}^{-8}$ rad) error. Whereas the grey wolf optimization (GWO) algorithm outperforms all in terms of computation time (0.308856 sec).","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128305257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of a 400 MHz Cavity Backed CPW Fed Bow-Tie Antenna for GPR Applications","authors":"Nairit Barkataki, P. Borah, Utpal Sarma, B. Tiru","doi":"10.1109/ICIERA53202.2021.9726755","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726755","url":null,"abstract":"This study presents the design a 400 MHz CPW-fed bow-tie slot antenna backed by a cavity. The application of UWB signal sources in ground penetrating radar (GPR) is widely recognised. The antennas are first modelled and simulated, and then tested using a VNA. The antenna has a high gain and very good (F/B) ratio. The antenna exhibits resonance at 401 MHz and 421 MHz and has a measured bandwidth of 47.5%. It has a realised gain of 6.68 dB at 400 MHz.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127681423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}